1.1 Trace plots for convergence check

The current MCMC setting is:

• 4000000 iteration;
  
• 3000000 burn-in;
  
• 1000 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.00
## LDevsum       1.00       1.00
## dh0           1.01       1.04
## dh1           1.01       1.04
## dl0           1.03       1.12
## dl1           1.00       1.01
## dl2           1.01       1.03
## dl3           1.03       1.11
## 
## Multivariate psrf
## 
## 1.02

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 4000000 iteration;
  
• 3000000 burn-in;
  
• 1000 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum          1       1.01
## dh0              1       1.01
## dh1              1       1.01
## 
## Multivariate psrf
## 
## 1

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results

3.1 Trace plots for convergence check

The current MCMC setting is:

• 4000000 iteration;
  
• 3000000 burn-in;
  
• 1000 thinning.

3.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## LDevsum      1.009      1.045
## dl0          1.046      1.186
## dl1          1.077      1.305
## dl2          0.999      0.999
## dl3          1.075      1.295
## 
## Multivariate psrf
## 
## 1.07

3.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

3.4 WAIC results